Tracking the Activities of Psychiatric Patients Using Docker Containers

Authors

  • A. Jennifer Sharon Student, Department of Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bangalore, India
  • A. Krishna Priya Student, Department of Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bangalore, India
  • H. Manasa Yadav Student, Department of Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bangalore, India
  • C. Parvathi Associate Professor, Department of Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bangalore, India

Keywords:

Docker containers, Edge computing, Human activity recognition

Abstract

Day by day due to the increasing stress and depression, a huge percentage of people are affected by mental disorders and in certain cases, it is extreme and they need someone to monitor them always. It is observed to be a very tedious job in the current scenario. With the prominent use of sensors merged together and connected to Arduino, the device can monitor their activities throughout the day. Edge computing makes the classification of data easy. This paper deals with the system which detects human activity recognition and sends it to the remotely located caretakers. With the help of Docker technology this system can be implemented in any environment.

 

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Published

26-07-2020

Issue

Section

Articles

How to Cite

[1]
A. J. Sharon, A. K. Priya, H. M. Yadav, and C. Parvathi, “Tracking the Activities of Psychiatric Patients Using Docker Containers”, IJRESM, vol. 3, no. 7, pp. 275–277, Jul. 2020, Accessed: May 09, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/76